Hear The Flow: Optical Flow-Based Self-Supervised Visual Sound Source Localization

• URL: http://arxiv.org/abs/2211.03019v1
• Date: Sun, 6 Nov 2022 03:48:45 GMT
• Title: Hear The Flow: Optical Flow-Based Self-Supervised Visual Sound Source Localization
• Authors: Dennis Fedorishin, Deen Dayal Mohan, Bhavin Jawade, Srirangaraj Setlur, Venu Govindaraju
• Abstract summary: Learning to localize the sound source in videos without explicit annotations is a novel area of audio-visual research. In a video, oftentimes, the objects exhibiting movement are the ones generating the sound. In this work, we capture this characteristic by modeling the optical flow in a video as a prior to better aid in localizing the sound source.
• Score: 11.059590443280726
• License: http://creativecommons.org/licenses/by/4.0/
• Abstract: Learning to localize the sound source in videos without explicit annotations is a novel area of audio-visual research. Existing work in this area focuses on creating attention maps to capture the correlation between the two modalities to localize the source of the sound. In a video, oftentimes, the objects exhibiting movement are the ones generating the sound. In this work, we capture this characteristic by modeling the optical flow in a video as a prior to better aid in localizing the sound source. We further demonstrate that the addition of flow-based attention substantially improves visual sound source localization. Finally, we benchmark our method on standard sound source localization datasets and achieve state-of-the-art performance on the Soundnet Flickr and VGG Sound Source datasets. Code: https://github.com/denfed/heartheflow.

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